“MVGAEW Model Outperforms Other Methods in Predicting Disease-Related Microbes”

https://pubmed.ncbi.nlm.nih.gov/38115088

The Multi-scale Variational Graph AutoEncoder embedding Wasserstein distance (MVGAEW) model, which integrates multiple similarities and uses an improved variational graph autoencoder with multi-order node embedding reconstruction, outperforms other current state-of-the-art methods in predicting disease-related microbes.